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Use of Cap Analysis Gene Expression to detect human papillomavirus promoter activity patterns at different disease stages

Transcription of human papillomavirus (HPV) genes proceeds unidirectionally from multiple promoters. Direct profiling of transcription start sites (TSSs) by Cap Analysis Gene Expression (CAGE) is a powerful strategy for examining individual HPV promoter activity. The objective of this study was to e...

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Autores principales: Taguchi, Ayumi, Nagasaka, Kazunori, Plessy, Charles, Nakamura, Hiroe, Kawata, Yoshiko, Kato, Sachi, Hashimoto, Kosuke, Nagamatsu, Takeshi, Oda, Katsutoshi, Kukimoto, Iwao, Kawana, Kei, Carninci, Piero, Osuga, Yutaka, Fujii, Tomoyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582169/
https://www.ncbi.nlm.nih.gov/pubmed/33093512
http://dx.doi.org/10.1038/s41598-020-75133-2
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author Taguchi, Ayumi
Nagasaka, Kazunori
Plessy, Charles
Nakamura, Hiroe
Kawata, Yoshiko
Kato, Sachi
Hashimoto, Kosuke
Nagamatsu, Takeshi
Oda, Katsutoshi
Kukimoto, Iwao
Kawana, Kei
Carninci, Piero
Osuga, Yutaka
Fujii, Tomoyuki
author_facet Taguchi, Ayumi
Nagasaka, Kazunori
Plessy, Charles
Nakamura, Hiroe
Kawata, Yoshiko
Kato, Sachi
Hashimoto, Kosuke
Nagamatsu, Takeshi
Oda, Katsutoshi
Kukimoto, Iwao
Kawana, Kei
Carninci, Piero
Osuga, Yutaka
Fujii, Tomoyuki
author_sort Taguchi, Ayumi
collection PubMed
description Transcription of human papillomavirus (HPV) genes proceeds unidirectionally from multiple promoters. Direct profiling of transcription start sites (TSSs) by Cap Analysis Gene Expression (CAGE) is a powerful strategy for examining individual HPV promoter activity. The objective of this study was to evaluate alterations of viral promoter activity during infection using CAGE technology. We used CAGE-based sequencing of 46 primary cervical samples, and quantitatively evaluated TSS patterns in the HPV transcriptome at a single-nucleotide resolution. TSS patterns were classified into two types: early promoter-dominant type (Type A) and late promoter-dominant type (Type B). The Type B pattern was more frequently found in CIN1 and CIN2 lesions than in CIN3 and cancer samples. We detected transcriptomes from multiple HPV types in five samples. Interestingly, in each sample, the TSS patterns of both HPV types were the same. The viral gene expression pattern was determined by the differentiation status of the epithelial cells, regardless of HPV type. We performed unbiased analyses of TSSs across the HPV genome in clinical samples. Visualising TSS pattern dynamics, including TSS shifts, provides new insights into how HPV infection status relates to disease state.
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spelling pubmed-75821692020-10-23 Use of Cap Analysis Gene Expression to detect human papillomavirus promoter activity patterns at different disease stages Taguchi, Ayumi Nagasaka, Kazunori Plessy, Charles Nakamura, Hiroe Kawata, Yoshiko Kato, Sachi Hashimoto, Kosuke Nagamatsu, Takeshi Oda, Katsutoshi Kukimoto, Iwao Kawana, Kei Carninci, Piero Osuga, Yutaka Fujii, Tomoyuki Sci Rep Article Transcription of human papillomavirus (HPV) genes proceeds unidirectionally from multiple promoters. Direct profiling of transcription start sites (TSSs) by Cap Analysis Gene Expression (CAGE) is a powerful strategy for examining individual HPV promoter activity. The objective of this study was to evaluate alterations of viral promoter activity during infection using CAGE technology. We used CAGE-based sequencing of 46 primary cervical samples, and quantitatively evaluated TSS patterns in the HPV transcriptome at a single-nucleotide resolution. TSS patterns were classified into two types: early promoter-dominant type (Type A) and late promoter-dominant type (Type B). The Type B pattern was more frequently found in CIN1 and CIN2 lesions than in CIN3 and cancer samples. We detected transcriptomes from multiple HPV types in five samples. Interestingly, in each sample, the TSS patterns of both HPV types were the same. The viral gene expression pattern was determined by the differentiation status of the epithelial cells, regardless of HPV type. We performed unbiased analyses of TSSs across the HPV genome in clinical samples. Visualising TSS pattern dynamics, including TSS shifts, provides new insights into how HPV infection status relates to disease state. Nature Publishing Group UK 2020-10-22 /pmc/articles/PMC7582169/ /pubmed/33093512 http://dx.doi.org/10.1038/s41598-020-75133-2 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Taguchi, Ayumi
Nagasaka, Kazunori
Plessy, Charles
Nakamura, Hiroe
Kawata, Yoshiko
Kato, Sachi
Hashimoto, Kosuke
Nagamatsu, Takeshi
Oda, Katsutoshi
Kukimoto, Iwao
Kawana, Kei
Carninci, Piero
Osuga, Yutaka
Fujii, Tomoyuki
Use of Cap Analysis Gene Expression to detect human papillomavirus promoter activity patterns at different disease stages
title Use of Cap Analysis Gene Expression to detect human papillomavirus promoter activity patterns at different disease stages
title_full Use of Cap Analysis Gene Expression to detect human papillomavirus promoter activity patterns at different disease stages
title_fullStr Use of Cap Analysis Gene Expression to detect human papillomavirus promoter activity patterns at different disease stages
title_full_unstemmed Use of Cap Analysis Gene Expression to detect human papillomavirus promoter activity patterns at different disease stages
title_short Use of Cap Analysis Gene Expression to detect human papillomavirus promoter activity patterns at different disease stages
title_sort use of cap analysis gene expression to detect human papillomavirus promoter activity patterns at different disease stages
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582169/
https://www.ncbi.nlm.nih.gov/pubmed/33093512
http://dx.doi.org/10.1038/s41598-020-75133-2
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